Uncertainty Assessment of the Integrated Hybrid Data Processing Techniques for Short to Long Term Drought Forecasting in Different Climate Regions

2021 ◽  
Author(s):  
Kiyoumars Roushangar ◽  
Roghayeh Ghasempour ◽  
Farhad Alizadeh
Keyword(s):  
Data Processing ◽  
Uncertainty Assessment ◽  
Drought Forecasting ◽  
Hybrid Data ◽  
Processing Techniques

scholarly journals The potential of integrated hybrid pre-post-processing techniques for short- to long-term drought forecasting

2020 ◽  
Author(s):  
Kiyoumars Roushangar ◽  
Roghayeh Ghasempour ◽  
Vahid Nourani
Keyword(s):  
Standardized Precipitation Index ◽  
Drought Indices ◽  
Intrinsic Mode Functions ◽  
Post Processing ◽  
Drought Forecasting ◽  
Processing Methods ◽  
Neural Ensemble ◽  
Processing Techniques ◽  
Mean Square Errors

Abstract Due to the drought negative impacts, accurate forecasting of drought indices is important. This study focused on the short- to long-term Standardized Precipitation Index (SPI) forecasting in sites with different climates using newly integrated hybrid pre-post-processing techniques. Four sites in Iran's northwest were selected and the SPIs series with time scales of 3, 9, and 24 months were forecasted during the period of 1978–2017. For improving the modeling efficiency, wavelet transform and ensemble empirical mode decomposition pre-processing methods were used. In this regard, temporal features of the SPIs series were decomposed via WT, then, the obtained sub-series were further broken down into intrinsic mode functions using EEMD. Also, simple linear averaging and nonlinear neural ensemble post-processing methods were applied to ensemble the outputs of hybrid models. The results showed that data pre-processing enhanced the models' capability up to 40%. Also, integrated pre-post-processing models improved the models' efficiency by approximately 50%. The root mean square errors' criteria distribution range decreased from 0.337–1.03 (in raw data) to 0.195–0.714 (in decomposed data). The results proved the capability of applied methods in modeling the SPIs series. In increasing the models' accuracy, data pre-processing was more effective than data post-processing.

The Use of Computers to Reduce Animal Experimentation in Pharmacology

1991 ◽  
Vol 19 (2) ◽  
pp. 271-276
Author(s):  
Ian E. Hughes
Keyword(s):  
Information Retrieval ◽  
Drug Design ◽  
Data Processing ◽  
Molecular Modelling ◽  
Teaching Methods ◽  
Animal Experimentation ◽  
Literature Searching ◽  
Research Activity ◽  
Teaching And Research

Computers are now used routinely as tools in pharmacology, particularly in the areas of teaching, data processing and collection, information retrieval and literature searching, and in molecular modelling and drug design. Their use in these areas has enhanced research activity and has extended and increased the availability of new teaching methods. Here, their impact on the use of animals in both teaching and research is discussed. It is concluded that computers may have some potential to reduce animal experimentation in the medium to long term, but their current use as alternatives to animals has made only a marginal impact on the total number of animals utilised for experimental purposes.

Review of data processing techniques for density profile evaluation from broadband FM-CW reflectometry on ASDEX Upgrade

2006 ◽  
Vol 46 (9) ◽  
pp. S693-S707 ◽  
Author(s):  
P Varela ◽  
M.E Manso ◽  
A Silva ◽  
the CFN Team ◽  
the ASDEX Upgrade Team
Keyword(s):  
Data Processing ◽  
Density Profile ◽  
Processing Techniques

scholarly journals Experimental Investigation on a Bladed Disk with Traveling Wave Excitation

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3966
Author(s):  
Luigi Carassale ◽  
Elena Rizzetto
Keyword(s):  
Data Processing ◽  
Traveling Wave ◽  
Frequency Response Function ◽  
Wave Excitation ◽  
Test Rig ◽  
Real Situation ◽  
Bladed Disk ◽  
Experimental Identification ◽  
Alternative Techniques ◽  
Processing Techniques

Bladed disks are key components of turbomachines and their dynamic behavior is strongly conditioned by their small accidental lack of symmetry referred to as blade mistuning. The experimental identification of mistuned disks is complicated due to several reasons related both to measurement and data processing issues. This paper describes the realization of a test rig designed to investigate the behavior of mistuned disks and develop or validate data processing techniques for system identification. To simplify experiments, using the opposite than in the real situation, the disk is fixed, while the excitation is rotating. The response measured during an experiment carried out in the resonance-crossing condition is used to compare three alternative techniques to estimate the frequency-response function of the disk.

Social Media Handbuch

2021 ◽  
Keyword(s):  
Social Media ◽  
Data Processing ◽  
Business Models ◽  
Practical Application ◽  
Strategy Model ◽  
The Social ◽  
Platform Economy

The Social Media Handbook provides guidance on long-term developments in the ever-changing social media sector and explains fundamental interrelationships in this field. It describes a strategy model for the development of one’s own solutions, summarises the theories, methods and models of leading authors and shows their practical application, while also highlighting current developments and dealing with the topic of data processing in social media. An examination of the platform economy with its economic functions facilitates the classification of business models in social media. The book also shows how platforms and their algorithms can influence our actions and shape our opinions. With contributions by Prof. Karin Bjerregaard Schlüter, Andrea Braun, Franziska Geue, Tobias Knopf, Markus Korbien, Prof. Dr. Daniel Michelis, Stefan Pfaff, Thanh H. Pham, Tom Reichstein, Prof. Dr. Anna Riedel, Michael Sarbacher, Prof. Dr. Dr. Thomas Schildhauer, Prof. Dr. Hendrik Send, Dr. Stefan Stumpp, Prof. Dr. Sebastian Volkmann, Jan-Benedikt Weber, Julia Weißhaupt, Norman Wiebach und Prof. Dr. Christian Wissing.

scholarly journals The GOME-2 instrument on the Metop series of satellites: instrument design, calibration, and level 1 data processing – an overview

2016 ◽  
Vol 9 (3) ◽  
pp. 1279-1301 ◽  
Author(s):  
Rosemary Munro ◽  
Rüdiger Lang ◽  
Dieter Klaes ◽  
Gabriele Poli ◽  
Christian Retscher ◽  
...  
Keyword(s):  
Data Processing ◽  
Instrument Design ◽  
Data Consistency ◽  
Current Status ◽  
Web Pages ◽  
Ozone Monitoring ◽  
Level 1 ◽  
Future Work ◽  
Ground Calibration

Abstract. The Global Ozone Monitoring Experiment-2 (GOME-2) flies on the Metop series of satellites, the space component of the EUMETSAT Polar System. In this paper we will provide an overview of the instrument design, the on-ground calibration and characterization activities, in-flight calibration, and level 0 to 1 data processing. The current status of the level 1 data is presented and points of specific relevance to users are highlighted. Long-term level 1 data consistency is also discussed and plans for future work are outlined. The information contained in this paper summarizes a large number of technical reports and related documents containing information that is not currently available in the published literature. These reports and documents are however made available on the EUMETSAT web pages and readers requiring more details than can be provided in this overview paper will find appropriate references at relevant points in the text.

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